Measurement Models

AdditiveNoiseMeasurementModel — Represents measurement models of the form \(y_k = h_k(x_k) + v_k\)
MeasurementModel — Represents measurement models of the form \(y_k = h_k(x_k, v_k)\)
MixedNoiseMeasurementModel — Represents measurement models of the form \(y_k = h_k(x_k, v_k) + r_k\)
LinearMeasurementModel — Represents measurement models of the form \(y_k = \mathbf{H}_k x_k + v_k\)
Likelihood — Represents a likelihood function of the form \(f_k(y_k \,|\, x_k)\)